Optimization and analysis in digital advertising campaigns: Discover pMaximizer

You must always be in search of tools that simplify and improve the management of advertising campaigns. That is why today I want to talk to you about pMaximizer a control panel, still in development, designed to facilitate the reporting and analysis of pMax campaigns from Google Ads, aimed at companies that manage many campaigns at the same time.

pMaximizer It is a solution that integrates various functionalities in a simple and centralized interface. The tool, developed in Looker Studio, offers advertisers a consolidated view of their account performance, and provides clear insights into the performance of assets within their pMax campaigns. This means marketers can now see in one place how their ads are performing and quickly adjust what’s not going well.

The implementation of pMaximizer available on github.com, requires following specific steps. Initially, you need to join a user group and get a developer token in Google Ads, making sure you have basic access. Next, a project must be created in the Google Cloud Console linked to a billing account. The deployment of the tool is done through a blue button that starts the installation process.

Once in use, pMaximizer allows you to run simple commands from the Cloud Shell console to update the code, differentiating between retail and non-retail clients. The interesting thing here is that no advanced technical skills are required; With owner-level permissions on the Google Cloud project and copy and paste commands, anyone can deploy the dashboard.

The system uses Google Cloud components such as Storage, Scheduler, Workflows, Run and BigQuery. During installation, these components are automatically configured, and post-installation, they are updated daily.

If technical complications arise during implementation, pMaximizer provides a troubleshooting guide, ensuring users can verify credentials and run update scripts again if necessary.

For the data being handled, it is crucial to modify the file answers.json to adjust data extraction dates and times, offering flexibility to analyze past or paused campaigns. Additionally, the tool can be deployed to an existing Cloud project or a new one, depending on the user’s preferences.

Now, what is the cost of all this? Although it depends on the volume of data, for a significant number of accounts and campaigns, it is estimated that the cost will not exceed 10-15 euros per month, mainly due to the use of BigQuery.

To modify the dashboard and share it with teammates, a Looker Studio tutorial is provided. It is important to ensure that data credentials are configured to allow access to the appropriate people.

pMaximizer It thus emerges as an effective tool to manage and optimize digital advertising campaigns. It offers a comprehensive view that allows advertisers to make informed and agile decisions to improve the performance of their campaigns. Without a doubt, it represents an evolution in the way digital marketers can interact with their advertising data.